This data includes the references and data extraction for the Systematic Literature Review performed as part of the MSc Thesis: "Using behavioural design to prevent rebound effects and promote secondary benefits of sustainable design"The goal of the project is to develop a tool for designers that utilises behavioural design to prevent rebound effects and promote secondary benefits. The content of the tool is be based on a comprehensive literature review on behavioural design and environmental sustainability. The tool was tested with various experts within the field and the industry.

The Post-Secondary Education: Cultural, Scholastic and Economic Drivers project was a parental survey conducted by COMPAS Research Inc. for the Canada Millennium Scholarship Foundation. A national, representative sample of 1,000 parents with at least one child aged 12-17 was interviewed in November 2003. The purpose of the project was to provide the Foundation with a better understanding of how families perceive and prepare for the postsecondary education options of their children. In this report, COMPAS reports relationships that are valid in a statistically significant sense. Unless the report specifically says that a relationship or difference is nominal or suggestive rather than statistically significant, any observation of a relationship can be assumed to meet the requirements of statistical significance. For example, COMPAS tested each demographic variable against all perceptual questions. Where no significant relationships or patterns were found, results of the correlations are not reported. This data may be used for personal, academic research or teaching purposes only. If the use of this data is for other purposes, please contact the Carleton University Data Centre.

Assessment of conservation benefits of ecotourism in secondary forest ecosystems using PD-ZTCM-WTP in Mt Yangbew, Benguet, Philippines The study developed the PD-ZTCM-WTP Protocol for quantifying ecotourism benefits in secondary forest sites using Mt. Yangbew as a study case. The protocol consists of three major components namely plant diversity (PD), Zone Travel Cost Method (ZTCM) and willingness to pay (WTP) corresponding respectively to measurement of environmental protection, economic benefits and psychosocial benefits. Using the protocol, a total of 120 plant species under 101 genera and 54 families were identified in Mt. Yangbew with mostly native species but were generally the common/least concern type with only few conservation important species. Nonetheless, the relatively high species richness of plants in the area could be attributed to its protection from the annual bush fires that were prevalent before its inception as ecotourism site in 2020. In terms of economic value, tourisms in Mt. Yangbew is estimated at Php 5,558,974.55 for the year 2023 with Zone 1 (nearest zone) contributing the bulk of visits and the corresponding economic value. Majority of the visitors are satisfied with their visits and are willing to pay additional fee for the site’s continuous protection and improvement. Their satisfaction is mostly based on the scenic view, natural landscape, trail quality and the solitude that the mountain site offers. The conduct of this protocol for the first time would serve as baseline data and its successive conduct, eg. every 3-5 years, could readily quantify the claimed benefits of ecotourism in secondary forest ecosystem.

BackgroundMedicare Advantage (MA) and Medicare fee-for-service (FFS) plans have different financial incentives. Medicare pays predetermined rates per beneficiary to MA plans for providing care throughout the year, while providers serving FFS patients are reimbursed per utilization event. It is unknown how these incentives affect post-acute care in skilled nursing facilities (SNFs). The objective of this study was to examine differences in rehabilitation service use, length of stay, and outcomes for patients following hip fracture between FFS and MA enrollees.Methods and findingsThis was a retrospective cohort study to examine differences in health service utilization and outcomes between FFS and MA patients in SNFs following hip fracture hospitalization during the period January 1, 2011, to June 30, 2015, and followed up until December 31, 2015. We linked the Master Beneficiary Summary File, Medicare Provider and Analysis Review data, Healthcare Effectiveness Data and Information Set data, the Minimum Data Set, and the American Community Survey. The 6 primary outcomes of interest in this study included 2 process measures and 4 patient-centered outcomes. Process measures included length of stay in the SNF and average rehabilitation therapy minutes (physical and occupational therapy) received per day. Patient-centered outcomes included 30-day hospital readmission, changes in functional status as measured by the 28-point late loss MDS-ADL scale, likelihood of becoming a long-term resident, and successful discharge to the community. Successful discharge from a SNF was defined as being discharged to the community within 100 days of SNF admission and remaining alive in the community without being institutionalized in any acute or post-acute setting for at least 30 days. We analyzed 211,296 FFS and 75,554 MA patients with hip fracture admitted directly to a SNF following an index hospitalization who had not been in a nursing facility or hospital in the preceding year. We used inverse probability of treatment weighting (IPTW) and nursing facility fixed effects regression models to compare treatments and outcomes between MA and FFS patients. MA patients were younger and less cognitively impaired upon SNF admission than FFS patients. After applying IPTW, demographic and clinical characteristics of MA patients were comparable with those of FFS patients. After adjusting for risk factors using IPTW-weighted fixed effects regression models, MA patients spent 5.1 (95% CI -5.4 to -4.8) fewer days in the SNF and received 463 (95% CI to -483.2 to -442.4) fewer minutes of total rehabilitation therapy during the first 40 days following SNF admission, i.e., 12.1 (95% CI -12.7 to -11.4) fewer minutes of rehabilitation therapy per day compared to FFS patients. In addition, MA patients had a 1.2 percentage point (95% CI -1.5 to -1.1) lower 30-day readmission rate, 0.6 percentage point (95% CI -0.8 to -0.3) lower rate of becoming a long-stay resident, and a 3.2 percentage point (95% CI 2.7 to 3.7) higher rate of successful discharge to the community compared to FFS patients. The major limitation of this study was that we only adjusted for observed differences to address selection bias between FFS and MA patients with hip fracture. Therefore, results may not be generalizable to other conditions requiring extensive rehabilitation.ConclusionsCompared to FFS patients, MA patients had a shorter course of rehabilitation but were more likely to be discharged to the community successfully and were less likely to experience a 30-day hospital readmission. Longer lengths of stay may not translate into better outcomes in the case of hip fracture patients in SNFs.

Jamaica JM: BoP: Current Account: Secondary Income: General Government: Social Benefits: Debit data was reported at 0.000 USD mn in 2016. This stayed constant from the previous number of 0.000 USD mn for 2015. Jamaica JM: BoP: Current Account: Secondary Income: General Government: Social Benefits: Debit data is updated yearly, averaging 0.000 USD mn from Dec 2012 (Median) to 2016, with 5 observations. Jamaica JM: BoP: Current Account: Secondary Income: General Government: Social Benefits: Debit data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Jamaica – Table JM.IMF.BOP: BPM6: Balance of Payments: Detailed Presentation: Annual.

This is the open data repository for Monitoring the Evolution and Benefits of Responsible Research and Innovation (MoRRI) project. The data package contains data from all surveys and other significant sources of data for secondary use and analysis. The reports of the project have been published in the EU bookshop, and the executive summary is available here: https://publications.europa.eu/en/publication-detail/-/publication/d7d917da-c13b-11e8-9893-01aa75ed71a1/language-en

Trial characteristics associated with use of PROs as primary or secondary outcomes, compared to not used.

Perceived health and economic benefits of secondary schooling.

The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

ObjectiveTo assess the competence of students and academic staff to use generative artificial intelligence (GenAI) as a tool in epidemiological data analyses in a randomised controlled trial (RCT).MethodsWe invited postgraduate students and academic staff at the Swiss Tropical and Public Health Institute to the RCT. Participants were randomized to analyse a simulated cross-sectional dataset using ChatGPT’s code interpreter (integrated analysis arm) vs. a statistical software (R/Stata) with ChatGPT as a support tool (distributed analysis arm). The primary outcome was the trial task score (out of 17, using an assessment rubric). Secondary outcome was the time to complete the task.ResultsWe invited 338 and randomized 31 participants equally to the two study arms and 30 participants submitted results. Overall, there was no statistically significant difference in mean task scores between the distributed analysis arm (8.5, ±4.6) and the integrated analysis arm (9.4, ±3.8), with a mean difference of 0.93 (p = 0.55). Mean task completion time was significantly shorter in the integrated analysis arm compared to the distributed analysis arm.ConclusionWhile ChatGPT offers advantages, its effective use requires a careful balance of GenAI capabilities and human expertise.

This dataset provides in-depth information on the recycling strategies implemented to obtain REEs from numerous secondary wastes; extraction behaviour of REEs; challenges, advantages, and disadvantages of the proposed methodologies; as well as proposed flowsheets for clean separation and recovery of REEs.

The data will be of value to all those interested in the recycling strategies implemented to obtain REEs from various secondary sources.

Cayman Islands BoP: Current Account: Secondary Income: General Government: Social Benefits: Debit data was reported at 0.000 USD mn in 2019. Cayman Islands BoP: Current Account: Secondary Income: General Government: Social Benefits: Debit data is updated yearly, averaging 0.000 USD mn from Dec 2019 (Median) to 2019, with 1 observations. The data reached an all-time high of 0.000 USD mn in 2019 and a record low of 0.000 USD mn in 2019. Cayman Islands BoP: Current Account: Secondary Income: General Government: Social Benefits: Debit data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Cayman Islands – Table KY.IMF.BOP: BPM6: Balance of Payments: Detailed Presentation: Annual.

Distribution of consent status for secondary use of data and residual biomaterial for research by most frequently visited medical department.

Sociodemographic distribution of consent status for secondary use of data and residual biomaterial for research (N = 101,437).

BackgroundDespite solid evidence supporting the efficacy of electronic mental health (EMH) services, their acceptance among psychotherapists is limited and uptake rates remain low. However, the acceptance of different EMH services has yet barely been examined in future generations of psychotherapists in a differentiated manner. The aims of this study were (1) to elaborate the intention to use various EMH services for different application purposes and (2) to determine predictors of EMH service acceptance among psychotherapists in clinical training (PiT).Materials and MethodsOur paper is based on a secondary data analysis of a cross-sectional survey. Respondents were recruited via recognized educational institutions for psychotherapy within Germany and the German-speaking part of Switzerland between June and July of 2020. The survey contained items on the intention to use different EMH services (i.e., guided and unguided programs, virtual reality, psychotherapy by telephone and videoconference) for various application purposes (i.e., prevention, treatment addition, treatment substitute, aftercare). Potential predictors of EMH service acceptance (e.g., barriers and advantages) were examined based on an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT).ResultsMost of the n = 216 respondents were female (88.4%) and located in Germany (72.2%). General acceptance of EMH was moderate (M = 3.4, SD = 1.12, range 1–5), while acceptance of psychotherapy via videoconference was highest (M = 3.7, SD = 1.15) and acceptance of unguided programs was lowest (M = 2.55, SD = 1.14). There was an interaction effect of EMH service and application purpose (η2 = 0.21). Barriers and advantages both had a uniform influence on EMH service acceptance (Pr > 0.999), while impersonality, legal concerns, concerns about therapeutic alliance, simplified information provision, simplified contact maintenance, time flexibility, and geographic flexibility were significant predictors (all p < 0.05). Results showed that the extended UTAUT model was the best fitting model to predict EMH service acceptance (Pr > 0.999).ConclusionsThe intention to use different EMH services varied between application purposes among PiT. To increase acceptance of EMH services and reduce misconceptions, we identified predictors that should be addressed in future acceptance-facilitating interventions when educating PiT.

Secondary Analysis with “Self-Archived” (Openly Accessible Articles Found on the Authors' Homepages, in Institutional Repositories, or Elsewhere on the Internet) as Separate Subgroup (October 2005 Analysis, 10–16 mo after Publication)

Essential oils from Cinnamomum cassia bark and Eucalyptus globulus leaves have been traditionally applied for bacterial infections, through both of aromatherapy and oral application. (E)-cinnamaldehyde and 1,8 cineole have been identified as their major secondary metabolites, and are also generally considered as the main active ingredients responsible for their medicinal applications. However, ethnobotanical doctors still prefer to use whole essentials oils over purified compounds in bacterial infections. We therefore hypothesized that multi-compound extracts might exert better effects than isolated ingredients. In order to verify the hypothesis about advantages of whole materials, we examined antibacterial properties of the 2 plant essential oils in the comparison with their isolated major compounds, such as (E)-cinnamaldehyde and 1,8 cineole. Effects of liquid- and vapor-phase were examined on a set of 6 gram-positive and -negative bacteria, applying broth dilution, agar well diffusion and disc volatilization methods. In all 3 investigations, we observed that whole cinnamon and eucalyptus oils, with the lower concentrations of (E)-cinnamaldehyde (89.1%) and 1,8 cineole (61.2%), were able to induce better effects than the purified active compounds (≥ 99%). These results partly explain the advantages of using whole essential oils over isolated ingredients, and therefore support the application of traditional dosage forms for bacterial infections in ethnomedicine.

Zambia BoP: Current Account: Secondary Income: Financial Corporations, Non Financial Corporations, Households & NPISHs: Other Current Transfers: Social Benefits: Debit data was reported at 0.000 USD mn in Dec 2020. This stayed constant from the previous number of 0.000 USD mn for Sep 2020. Zambia BoP: Current Account: Secondary Income: Financial Corporations, Non Financial Corporations, Households & NPISHs: Other Current Transfers: Social Benefits: Debit data is updated quarterly, averaging 0.000 USD mn from Mar 2020 (Median) to Dec 2020, with 4 observations. The data reached an all-time high of 0.000 USD mn in Dec 2020 and a record low of 0.000 USD mn in Dec 2020. Zambia BoP: Current Account: Secondary Income: Financial Corporations, Non Financial Corporations, Households & NPISHs: Other Current Transfers: Social Benefits: Debit data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Zambia – Table ZM.IMF.BOP: BPM6: Balance of Payments: Detailed Presentation.

Descriptive statistics for evaluation participants aged 17 + at service entry.

IntroductionThe health and higher education sectors are increasingly using large administrative datasets for secondary purposes. Both sectors experience ethical challenges in the use of big data. This study identifies and explores how these two sectors are responding to these ethical challenges.Objectives and approachThrough in-depth qualitative interviews, we asked 18 key Australian stakeholders using or sharing big data in the health and higher education sectors to identify the ethical, social and legal issues associated with big data use and their views on how to build ethical policies in this area.ResultsThere was strong agreement between participants in the two sectors in a number of areas. All participants believed in the benefits of data usage and recognised the importance of privacy, transparency and consent, and the duties for data custodians which followed from these principles. However, there were also significant differences. The participants in the two sectors took different views on what data are for, what benefits data should provide, who should benefit and how, and the imagined unit of analysis for working with data. Broadly, participants from the higher education sector approached these questions with individual students in mind, while health sector informants approached these questions with collectives, groups, or publics in mind. In deciding what to do, the health participants drew principally on a shared toolkit of legislative, regulatory and ethical instruments, and higher education participants on a culture of duties towards individuals.Conclusion / implicationsThe health and higher education sectors are responding to ethical challenges in the use of big data in different, but potentially complementary, ways.